AI Agent Safety Tools Split Into Three Categories, Most Teams Miss the Critical One

A 2026 practitioner comparison identifies three categories of AI agent safety tooling: observability, security guardrails, and compliance evidence. Observability tools log agent behavior after the fact, while security guardrails attempt to block harmful actions before they occur, though research shows even the best defenses can be bypassed. Compliance evidence tools — the newest and least adopted category — generate independently verifiable, tamper-evident records proving an agent's actions were reviewed and permitted. Emerging regulations such as the EU AI Act, India's DPDP, and DORA are driving demand for this third category, as standard internal logs are considered insufficient proof for auditors and regulators. The article, written by the founder of one such tool called VITNA, argues that teams operating in regulated or high-stakes environments need all three categories but most currently lack verifiable compliance evidence.